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Main Purpose:
- Drive design, development, and implementation of ML solutions from conception to deployment.
- Own key projects ensuring technical requirements and momentum until delivery.
- Keep abreast of developments with dedication to learning.
Main Tasks:
- Design ML models for machine translation, LLM finetuning, and quality assurance.
- Deploy models using Docker, AWS Sagemaker, EC2, and S3.
- Perform statistical analysis and fine-tuning using test results.
Requirements:
- BSc in Computer Science or related field; Master's a plus.
- Minimum 3+ years experience as ML Engineer with production-grade Python.
- Hands-on proficiency with TensorFlow, PyTorch, Scikit-learn, and NLP techniques.
Welo Global
Welo Global is a leader in multilingual AI, technology, and content solutions serving over 2,000 clients in 300 languages. The company combines globally scaled multilingual infrastructure with a network of over 500,000 linguists and domain experts, backed by seven ISO certifications.